Skip to main content

TensorFlow IO

Project description

The author of this package has not provided a project description

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-win_amd64.whl (15.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-manylinux2010_x86_64.whl (20.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-macosx_10_13_x86_64.whl (18.0 MB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-win_amd64.whl (15.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-manylinux2010_x86_64.whl (20.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-macosx_10_13_x86_64.whl (18.0 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-win_amd64.whl (15.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-manylinux2010_x86_64.whl (20.9 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-macosx_10_13_x86_64.whl (18.0 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-win_amd64.whl (15.8 MB view details)

Uploaded CPython 3.5m Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-manylinux2010_x86_64.whl (20.9 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-macosx_10_13_x86_64.whl (18.0 MB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8a25d3175a895fd61932ca7228d8253ff0d84e45b214c6711293595c4f917220
MD5 ad39533c20df6a708848f7f2c46b0f05
BLAKE2b-256 51bfdc1dac19ed3fb3f3df7fe793a84c5aab99c14cf85e0aadbce81356cedbcd

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4f3423b5ca50ae165d01165bcbc07005563a17bf794a2c8f2e87fff29f0637ba
MD5 e115f2b5fec41b7aab1dd894dd124cda
BLAKE2b-256 1f4708db3b925917234d2925753a8468f4654c99c7d3ea4554e1f8f7d48d6cb3

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 20a429ddceb6521c6051ca7fb0e4094a9c0636796d8c0bbf121e80925b91f12b
MD5 4c11fc103ebc767272363b699562d583
BLAKE2b-256 6b13280c9f6c5a7e3003bb1e2600b38960bcb5cf147200512098f0d54752138b

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 a807548c5ebb080cb5caa3970aa8cbe32f7d2abf9c8404cfe1c9c6f201ab4ecd
MD5 5d31e52fbbfbc158fdbf9d7b946c2676
BLAKE2b-256 14ef443f33a31701e2335cae0a95672e6edc55a26b38466466262ac605a31d11

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c99aab33ebc697f80c4f149b32d00915121554a58d6e36d01c82aceae5b6d416
MD5 ec352544420035ba403513354f7c7154
BLAKE2b-256 0b5dd8e3246e49c4eb62042bc618749bad021fec4955589a9a968ab87bb65688

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 98e1aa47e05a8f27f6107e647f3932b06e8ecfd4724a633c4c05b1875b0df9d5
MD5 c46bdbba0f5849b75d75641f24c400e1
BLAKE2b-256 0c69a961d8b7a6a7006835654072e98ed4faf0947114b71d64f92356aa550754

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 4b7bea4c153a818965d048c11c92e49fe59ff451eb769009538afca9f429139a
MD5 e44f27afbbff4e1d2220959c6e2c9c23
BLAKE2b-256 82a6822b5a8a62accba05f1634cf80e317ef658e02ad1dff9b945cca5a6a8d72

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6be9ce19ad24c0e5c638fb054be4dc4c8f247c07b2365085525cffcd5f1c7b46
MD5 d482c50ec5536d370df33d5820a66c4a
BLAKE2b-256 d1b08a8a709884cf0af10a99490cb1b8d24953101ceae6619b032e8830e31e3d

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b2b3a397a38112eb80f708c74c8bd9e9c0ae0563b7f3bebd84995c3b76422544
MD5 a2481cb55d2070bd5363f1a19ff2de14
BLAKE2b-256 c59bf22ea9d36473372df837d1c04278b1461280de2bab23966d7ccda38f2c0f

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 2fbc7430b1cd3f8aff61760e7b299fba82626038843467962aaa4d161b69f6dc
MD5 2db922269e8dcbd96d5368fa167e2e14
BLAKE2b-256 10be3dab3954464ba36952e02ff48147122b1fb5ef2a3a5828d4a02471721cbe

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2efdb0f1fa79ff557c98d8dd890610228259e0e287f8aa544211905215f01a4c
MD5 4b65ea2049ad02323191edd7f5fc12ad
BLAKE2b-256 6ddf56e14146107ae060e532ae4a80f11f0269fe43471ed8b4dc82b43108b8a0

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200509013058-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 40c6eeed848ade5ed6e26a519d16654525ecebdc135c0a62b8e5651a96a9ca4c
MD5 209ab2a8a69596a639b3f801e42a551f
BLAKE2b-256 1d7114033e1eb183f92dbb6fa532dd020582cc9d479e00ce892fc7b7d45adf50

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page